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使用基质辅助激光解吸电离傅里叶变换离子回旋共振质谱法对光照和暗处理视网膜进行高分辨率代谢物成像。

High-resolution metabolite imaging of light and dark treated retina using MALDI-FTICR mass spectrometry.

作者信息

Sun Na, Ly Alice, Meding Stephan, Witting Michael, Hauck Stefanie M, Ueffing Marius, Schmitt-Kopplin Philippe, Aichler Michaela, Walch Axel

机构信息

Research Unit Analytical Pathology, Institute of Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany.

出版信息

Proteomics. 2014 Apr;14(7-8):913-23. doi: 10.1002/pmic.201300407.

DOI:10.1002/pmic.201300407
PMID:24459044
Abstract

MS imaging (MSI) is a valuable tool for diagnostics and systems biology studies, being a highly sensitive, label-free technique capable of providing comprehensive spatial distribution of different classes of biomolecules. The application of MSI to the study of endogenous compounds has received considerable attention because metabolites are the result of the interactions of a biosystem with its environment. MSI can therefore enhance understanding of disease mechanisms and elucidate mechanisms for biological variation. We present the in situ comparative metabolomics imaging data for analyses of light- and dark-treated retina using MALDI-FTICR. A wide variety of tissue metabolites were imaged at a high spatial resolution. These include nucleotides, central carbon metabolism pathway intermediates, 2-oxocarboxylic acid metabolism, oxidative phosphorylation, glycerophospholipid metabolism, and cysteine and methionine metabolites. The high lateral resolution enabled the differentiation of retinal layers, allowing determination of the spatial distributions of different endogenous compounds. A number of metabolites demonstrated differences between light and dark conditions. These findings add to the understanding of metabolic activity in the retina.

摘要

质谱成像(MSI)是诊断和系统生物学研究的一种有价值的工具,它是一种高度灵敏的、无需标记的技术,能够提供不同种类生物分子的全面空间分布。MSI在内源性化合物研究中的应用受到了广泛关注,因为代谢物是生物系统与其环境相互作用的结果。因此,MSI可以增进对疾病机制的理解,并阐明生物变异的机制。我们展示了使用基质辅助激光解吸电离傅里叶变换离子回旋共振质谱(MALDI-FTICR)对光处理和暗处理视网膜进行分析的原位比较代谢组学成像数据。在高空间分辨率下对多种组织代谢物进行了成像。这些代谢物包括核苷酸、中心碳代谢途径中间体、2-氧代羧酸代谢、氧化磷酸化、甘油磷脂代谢以及半胱氨酸和甲硫氨酸代谢物。高横向分辨率使得能够区分视网膜各层,从而确定不同内源性化合物的空间分布。许多代谢物在光照和黑暗条件下表现出差异。这些发现有助于增进对视网膜代谢活动的理解。

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